Dear list member,

I struggle with the problem, why the probabilities of choosing one of three mutually exclusive alternatives don?t sum up to 1!

Let?s assume we have three alternatives X, Y, and Z. Let?s further assume we know their respective utilities: uX, uY, uZ. I?m interested in calculating the probability of choosing X, Y, and Z.

Since I assume that the alternatives are mutually exclusive, the probabilities p(X), p(Y), and p(Z) have to sum up to one. The utilities of the 3 alternatives can be expressed in 2 utility differences and, hence, the multivariate case reduces to a bivariate normal distribution. If I assume that X, Y, and Z are independent, their corresponding correlations have to be zero and, hence, the variance-covariance-matrices are set to be a diagonal-matrix (i.e., identity-matrix).

To calculate p(X), p(Y), and p(Z) I was using the following R-code:

library(mnormt) # can handle multivariate normal distributions
uX = 2
uY = 1
uZ  = .5
mu = c(uX, uY, uZ)
LX = matrix(c(1,-1,0,1,0,-1), 2, 3, byrow = TRUE)
LY = matrix(c(-1,1,0,0,1,-1), 2, 3, byrow = TRUE)
LZ = matrix(c(-1,0,1,0,-1,1), 2, 3, byrow = TRUE)
muX = LX %*% mu
muY = LY %*% mu
muZ = LZ %*% mu
Sigma = diag(2)
mean = c(0,0)
pX = pmnorm(muX, mean, Sigma)
pY = pmnorm(muY, mean, Sigma)
pZ = pmnorm(muZ, mean, Sigma)
pX + pY + pZ

I don?t see why the three probabilities don?t sum up to 1?

I know two ?solutions? to this problem so far. However, neither of them satisfies me: 1. I can set pZ to 1 ? pX ? pY, but doing so, returns a different result for pZ, than calculating pZ directly using pmnorm. 2. I could calculate the relationship of pX to the sum of pX + pY + pZ (? pX/(pX + pY + pZ) )

Can anyone explain to me why the probabilities don?t sum up to 1? How should I rewrite the R-code to overcome this problem?
Thanks a lot for any advice!

Nicolas Berkowitsch
Ph.D. Student
University of Basel
Switzerland





____________


lic. phil. Nicolas A. J. Berkowitsch
Universität Basel
Fakultät für Psychologie
Economic Psychology
Missionsstrasse 62a
CH-4055 Basel

Tel.     +41 61 267 05 75
E-Mail   nicolas.berkowit...@unibas.ch
Web http://psycho.unibas.ch/abteilungen/abteilung-details/home/abteilung/economic-psychology/

----------------------------------------------------------------
This message was sent using IMP, the Internet Messaging Program.

______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to